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Data Analytics
A Small Data Approach
Buch von Houtao Deng (u. a.)
Sprache: Englisch

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Beschreibung
Highlights a combination of two aspects: technical concreteness and holistic thinking. Authors discuss what principles are used to invent these techniques, what assumptions are made, how mathematics is used to articulate these assumptions, and how these formulations generalize a range of real-world applications into generic and abstract forms.
Highlights a combination of two aspects: technical concreteness and holistic thinking. Authors discuss what principles are used to invent these techniques, what assumptions are made, how mathematics is used to articulate these assumptions, and how these formulations generalize a range of real-world applications into generic and abstract forms.
Über den Autor

Shuai Huang is an associate professor at the department of industrial & systems engineering at the university of Washington. He conducts interdisciplinary research in machine learning, data analytics, and applied operations research with applications on healthcare, manufacturing, and transportation areas.

Houtao Deng is a data science researcher and practitioner. He developed several new decision tree methods such as inTrees. He has built data-driven products for forecasting, scheduling, pricing, recommendation, fraud detection, and image recognition.

Inhaltsverzeichnis

1. INTRODUCTION. 2. ABSTRACTION. 3. RECOGNITION. 4. RESONANCE. 5. LEARNING (I). 6. DIAGNOSIS. 7. LEARNING (II). 8. SCALABILITY. 9. PRAGMATISM. 10. SYNTHESIS.

Details
Erscheinungsjahr: 2021
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 257
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780367609504
ISBN-10: 0367609509
Sprache: Englisch
Einband: Gebunden
Autor: Deng, Houtao
Huang, Shuai
Hersteller: Taylor & Francis Ltd
Maße: 260 x 286 x 20 mm
Von/Mit: Houtao Deng (u. a.)
Erscheinungsdatum: 20.04.2021
Gewicht: 0,922 kg
preigu-id: 128275021
Über den Autor

Shuai Huang is an associate professor at the department of industrial & systems engineering at the university of Washington. He conducts interdisciplinary research in machine learning, data analytics, and applied operations research with applications on healthcare, manufacturing, and transportation areas.

Houtao Deng is a data science researcher and practitioner. He developed several new decision tree methods such as inTrees. He has built data-driven products for forecasting, scheduling, pricing, recommendation, fraud detection, and image recognition.

Inhaltsverzeichnis

1. INTRODUCTION. 2. ABSTRACTION. 3. RECOGNITION. 4. RESONANCE. 5. LEARNING (I). 6. DIAGNOSIS. 7. LEARNING (II). 8. SCALABILITY. 9. PRAGMATISM. 10. SYNTHESIS.

Details
Erscheinungsjahr: 2021
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 257
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780367609504
ISBN-10: 0367609509
Sprache: Englisch
Einband: Gebunden
Autor: Deng, Houtao
Huang, Shuai
Hersteller: Taylor & Francis Ltd
Maße: 260 x 286 x 20 mm
Von/Mit: Houtao Deng (u. a.)
Erscheinungsdatum: 20.04.2021
Gewicht: 0,922 kg
preigu-id: 128275021
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